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arXiv 1606.02602cond-mat.stat-mech
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驱动周期扩散的电流大偏差

Current large deviations for driven periodic diffusions

Pelerine Tsobgni Nyawo, Hugo Touchette

摘要:

我们研究了圆上驱动扩散的时间积分电流的大偏差,圆通常被用作非平衡系统的模型。我们得到的大偏差函数描述的电流波动使用的傅里叶-布洛赫分解的所谓的倾斜的发电机,并从这个分解的有效的(有偏的,辅助或驱动)马尔可夫过程描述的扩散电流波动的时间观察。这个有效的过程提供了一个清晰的物理解释所观察到的各种波动制度。它是用来在这里获得当前的大偏差函数的上限,我们比较最近派生的熵界,并研究大偏差的低噪声限制。

英文摘要:

We study the large deviations of the time-integrated current for a driven diffusion on the circle, often used as a model of nonequilibrium systems. We obtain the large deviation functions describing the current fluctuations using a Fourier-Bloch decomposition of the so-called tilted generator and also construct from this decomposition the effective (biased, auxiliary or driven) Markov process describing the diffusion as current fluctuations are observed in time. This effective process provides a clear physical explanation of the various fluctuation regimes observed. It is used here to obtain an upper bound on the current large deviation function, which we compare to a recently-derived entropic bound, and to study the low-noise limit of large deviations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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